Optimization of multi-objective land use model with genetic algorithm

The first task of the city planner is to effectively locate integrated land use types for various objectives. The Multi Objective Land Use Planning Model developed to achieve this goal, aims to maximize land value and minimize the transportation. The genetic algorithm method developed to find the op...

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Bibliographic Details
Published in:Journal of design for resilience in architecture and planning : (Online) Vol. 1; no. 1; pp. 15 - 32
Main Author: Mutlu, Hasan
Format: Journal Article
Language:English
Published: Mehmet Topçu 01.12.2020
Mehmet Topcu
Subjects:
Araştırma-Geliştirme
Bilim-Teknoloji
genetic algorithm
Mimarlık ve Tasarım
multi objective land use planning
spatial optimization
Yenilikçilik & Girişimcilik
Türkiye
Konya
genetic algorithm
multi objective land use planning
spatial optimization
ISSN:2757-6329, 2757-6329
Online Access:Get full text
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Summary:The first task of the city planner is to effectively locate integrated land use types for various objectives. The Multi Objective Land Use Planning Model developed to achieve this goal, aims to maximize land value and minimize the transportation. The genetic algorithm method developed to find the optimum layout according to the Multi-Objective Land Use Planning Model has been explained, the success and performance of the process has been tested with artificial data, and its usability in real problems has been examined. According to the results of the study, using this method, it is revealed that layout plans that are very close to the maximum efficiency value can be found within 1 day in cities with a population of up to 1,000,000, within 1 week in cities up to 5,000,000, and within 1.5 months in cities close to 16,000,000. By examining the results, the deficiencies of this method are determined and the suggestions for improvement of this method are stated. The problem chosen in this study is a problem that most city planners have to solve and the developed application has been opened to the use of other experts. This makes this work unique as it allows planning experts who are incapable of developing such methods to experiment.
ISSN:2757-6329
2757-6329
DOI:10.47818/DRArch.2020.v1i1002